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• Co-Design of Technology with and for People with Intellectual Disabilities: A Scoping Review of Methods and Inclusion Strategies

  Jacqueline Johnstone, Madhuka Nadeeshani, Preity Pai, Troy McGee, Kirsten Ellis, Swamy Ananthanarayan · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This scoping review examines how people with Intellectual Disabilities (ID) and their support networks have been involved in the co-design of technology, addressing a persistent gap: despite HCI's growing emphasis on inclusive design, people with ID remain markedly…

  co-design · intellectual disability · participatory design · inclusive design · scoping review

• AI That Moves With You: A Review of Interactive Technologies Powered by Large Foundation Models for Mobility Impairment

  Duosi Dai, Yuchong Zhang, Yong Ma, Danica Kragic · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This paper is a scoping review (PRISMA-ScR) of how large foundation models - LLMs, large vision models, and vision-language models - are being woven into interactive assistive technologies for people with mobility impairments, covering publications from January 2020 to May 2025.…

  foundation model · large language model · vision-language model · literature review · scoping review

• Beyond Additive Design: An Empirical Taxonomy of Multimodal STEM Accessibility Systems

  Madjid Sadallah, Benoit Encelle · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Sadallah and Encelle conduct a systematic review of 66 multimodal STEM accessibility systems for blind and visually impaired (BVI) users published between 2015 and 2025, drawn from the ACM Digital Library, IEEE Xplore, OpenAlex, PubMed, and Web of Science. Their central argument…

  STEM accessibility · multimodal interaction · cognitive load · sensory integration · blind and low vision

• The Perceptual Gap: Why We Need Accessible XAI for Assistive Technologies

  Shadab H. Choudhury · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Choudhury (University of Maryland, Baltimore County) presents a position paper and targeted literature review arguing that explainable AI (XAI) — the body of methods that help users understand why a black-box model produced a particular output — is fundamentally inaccessible to…

  explainable AI · XAI · artificial intelligence · blind and low vision · deaf and hard of hearing

• TacChat: Exploring User Generation and Accessible Sharing via Tactile Graphics for the Blind and Visually Impaired

  Yuewen Zhang, Danning Li, Kexin Zhou, Pu Jiang, Jingyang Lyu, Kotaro Hara, Baoshui Chen, Shuai Gao, Yang Jiao · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Zhang and colleagues (Tsinghua University, Singapore Management University, and Beijing School for the Blind) flip the usual framing of tactile-graphics research: rather than asking how blind and low-vision (BLV) people can better consume tactile images created by sighted…

  tactile graphics · refreshable tactile display · blind and low vision · accessible authoring · social media accessibility

• From Compliance to Decision Confidence: A Scoping Review of Accessible E-Commerce for Blind and Low-Vision People

  Bektur Ryskeldiev, Matthew Gillingham, Norimasa Kobori · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26)

  Ryskeldiev, Gillingham, and Kobori (Mercari R4D and University of Tsukuba) present a scoping review of 21 papers (14 directly about e-commerce accessibility for blind and low-vision (BLV) users, 7 adjacent) published 2010-2025, drawn from ACM DL, Google Scholar, and…

  e-commerce accessibility · blind and low vision · scoping review · online shopping · C2C marketplaces

• Disability, Differences, and Diversity: Revisiting Inclusive Design and Access

  Himanshu Verma, Giulia Barbareschi, Sophia Ppali, Kathrin Gerling, Maartje De Meulder, Judith Good, Jatinder Singh, Katta Spiel, Abdallah El Ali, Marios Constantinides, Maristella Matera, Monica Perusquia-Hernandez, Hamed Alavi, Pablo Cesar, Alessandro Bozzon · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26) — Meetup

  This 2026 CHI EA meetup position paper — authored by 15 researchers across eleven European and Asian institutions — frames the current moment in accessibility as a policy-compliance inflection point and invites the HCI community to resist a compliance-only reading of the…

  inclusive design · disability justice · accessibility policy · critical computing · ableism

• Speech AI for All: The What, How, and Who of Measurement

  Kimi Wenzel, Alisha Pradhan, Maria Teleki, Tobias M. Weinberg, Robin Netzorg, Alyssa Hillary Zisk, Anna Seo Gyeong Choi, Jingjin Li, Raja Kushalnagar, Colin Lea, Abraham Glasser, Christian Vogler, Ly Xinzhen M. Zhangsun Brown, Nan Bernstein Ratner, Allison Koenecke, Karen Nakamura, Shaomei Wu · 2026 · Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems (CHI EA '26) — Workshop

  This CHI 2026 workshop proposal — the second in the organisers' 'Speech AI for All' series — assembles 17 researchers, practitioners, and community advocates to tackle a specific downstream problem in fair and accessible speech AI: measurement. The motivating claim is that…

  speech AI · automatic speech recognition · speech diversity · augmentative and alternative communication · disfluency

• Participant Recruitment in Accessibility Research

  Lloyd May, Saad Hassan, Khang Dang, Sooyeon Lee, Oliver Alonzo · 2025 · ASSETS 2025: 27th International ACM SIGACCESS Conference on Computers and Accessibility

  This workshop paper addresses the critical but underexplored challenge of recruiting participants with disabilities for accessibility research. Grounded in the principle "Nothing about us without us," the paper argues that including people with disabilities as research…

  research methods · participant recruitment · disability studies · ethics · intersectionality

• Tactile Emotions: Multimodal Affective Captioning with Haptics Improves Narrative Engagement for d/Deaf and Hard-of-Hearing Viewers

  Caluã de Lacerda Pataca, Saad Hassan, Lloyd May, Michelle M Olson, Toni D'aurio, Roshan L Peiris, Matt Huenerfauth · 2025 · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (CHI '25)

  This paper explores a multimodal approach to affective captioning — captions that convey not just the words a speaker says but the emotional dimensions of their voice — for d/Deaf and Hard-of-Hearing (dhh) viewers. Prior work has shown that typographic modulations such as…

  affective captioning · haptics · deaf and hard of hearing · multimodal interaction · captions

• A11yFutures: Envisioning the Future of Accessibility Research

  Jennifer Mankoff, Kelly Avery Mack, Jason Wiese, Kirk Andrew Crawford, Foad Hamidi · 2023 · Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS 2023)

  This workshop paper proposes a framework for understanding the evolution of accessibility research through three "waves" and argues that the field needs to broaden significantly into what the authors call "third wave accessibility." The first wave of accessibility research was…

  accessibility research · disability studies · inclusive design · intersectionality · research methodology

• Working at the Intersection of Race, Disability and Accessibility

  Harrington, Christina N., Desai, Aashaka, Lewis, Aaleyah, Moharana, Sanika, Ross, Anne Spencer, Mankoff, Jennifer · 2023 · Proceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This paper argues that accessibility research has systematically overlooked race as a meaningful construct, treating it at best as a shallow demographic variable while studying disability in isolation. The authors — a racially diverse team from Carnegie Mellon, University of…

  intersectionality · race · disability · social justice · critical race theory

• Analyzing Deaf and Hard-of-Hearing Users' Behavior, Usage, and Interaction with a Personal Assistant Device that Understands Sign-Language Input

  Abraham Glasser, Matthew Watkins, Kira Hart, Sooyeon Lee, Matt Huenerfauth · 2022 · Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22)

  This CHI 2022 paper investigates how Deaf and Hard-of-Hearing (DHH) ASL signers would actually use a personal assistant device (such as an Amazon Echo Show or Google Home) if it could understand American Sign Language commands. The authors position their work against the…

  sign language · american sign language · deaf and hard of hearing · personal assistants · voice assistants

• Remotely Co-Designing Features for Communication Applications using Automatic Captioning with Deaf and Hearing Pairs

  Matthew Seita, Sooyeon Lee, Sarah Andrew, Kristen Shinohara, Matt Huenerfauth · 2022 · Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22)

  This CHI 2022 paper addresses two intertwined problems. First, methodologically, how can co-design research involving both Deaf/Hard-of-Hearing (DHH) and hearing participants be conducted remotely during and beyond COVID-19, when in-person sessions are not possible and masks…

  automatic speech recognition · deaf and hard of hearing · participatory design · co-design · videoconferencing

• Watch It, Don't Imagine It: Creating a Better Caption-Occlusion Metric by Collecting More Ecologically Valid Judgments from DHH Viewers

  Akhter Al Amin, Saad Hassan, Sooyeon Lee, Matt Huenerfauth · 2022 · Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22)

  This CHI 2022 paper builds a better automated metric for the severity of caption-occlusion — the problem of closed captions blocking important on-screen visual content during television programming. DHH viewers consistently report that even perfectly transcribed captions become…

  captioning · captions · caption occlusion · deaf and hard of hearing · television accessibility

• Accept or Address? Researchers' Perspectives on Response Bias in Accessibility Research

  Joy Ming, Sharon Heung, Shiri Azenkot, Aditya Vashistha · 2021 · ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility

  Response bias — the tendency for participant responses to be skewed by factors beyond the actual research questions — is a concern in all human-subjects research, but it takes on unique dimensions in accessibility research. Ming et al. conducted semi-structured interviews with…

  research methodology · response bias · participant-researcher dynamics · disability identity · accessibility research

• Deinstitutionalizing Independence: Discourses of Disability and Housing in Accessible Computing

  Kevin M. Storer, Stacy M. Branham · 2021 · Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This paper uses Critical Discourse Analysis (CDA) to examine how the history of institutionalization and deinstitutionalization in the United States shapes contemporary Accessible Computing (AC) research focused on domestic spaces. The authors analyzed 101 peer-reviewed AC…

  disability studies · critical discourse analysis · institutionalization · independent living · housing

• The FATE Landscape of Sign Language AI Datasets: An Interdisciplinary Perspective

  Danielle Bragg, Oscar Koller, Mary Bellard, Larwan Berke, Patrick Boudreault, Annelies Braffort, Naomi Caselli, Matt Huenerfauth, Hernisa Kacorri, Tessa Verhoef, Christian Vogler, Meredith Ringel Morris · 2021 · ACM Transactions on Accessible Computing

  This interdisciplinary paper examines the ethical landscape of AI datasets used for sign language recognition, generation, and translation technologies. Drawing on expertise from deaf community members, sign language linguists, and AI researchers, the authors apply the FATE…

  sign language · AI datasets · deaf community · FATE framework · machine learning

• Living Disability Theory: Reflections on Access, Research, and Design

  Megan Hofmann, Devva Kasnitz, Jennifer Mankoff, Cynthia L. Bennett · 2020 · Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

  This paper presents a reflexive autoethnographic analysis by three accessibility researchers (Hofmann, Mankoff, Bennett) and one disability studies scholar (Kasnitz), all of whom are disabled, examining how their lived experiences of disability intersect with and challenge…

  disability studies · ableism · autoethnography · disability theory · accessibility research

• Deaf Individuals' Views on Speaking Behaviors of Hearing Peers when Using an Automatic Captioning App

  Matthew Seita, Matt Huenerfauth · 2020 · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20)

  This CHI 2020 Late-Breaking Work paper investigates what behaviors hearing speakers should ideally exhibit when holding in-person conversations with Deaf or deaf people using an Automatic Speech Recognition (ASR) captioning app on a mobile device. The authors position the study…

  automatic speech recognition · deaf and hard of hearing · captioning · captions · speaking behavior

• Sign Language Interfaces: Discussing the Field's Biggest Challenges

  Danielle Bragg, Meredith Ringel Morris, Christian Vogler, Raja Kushalnagar, Matt Huenerfauth, Hernisa Kacorri · 2020 · Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (CHI EA '20)

  This CHI 2020 Special Interest Group (SIG) meeting paper (5 pages) is an organising document rather than a conventional research paper. It convenes HCI and accessibility researchers working on sign-language interfaces around the five calls-to-action laid out in Bragg et al.’s…

  sign language · deaf and hard of hearing · deaf culture · american sign language · research methodology

• Understanding the Motivations of Final-year Computing Undergraduates for Considering Accessibility

  Paula Conn, Taylor Gotfrid, Qiwen Zhao, Rachel Celestine, Vaishnavi Mande, Kristen Shinohara, Stephanie Ludi, Matt Huenerfauth · 2020 · ACM Transactions on Computing Education (TOCE), Vol. 20, No. 2, Article 15

  This 22-page ACM Transactions on Computing Education article asks a question that most accessibility education research has side-stepped: what happens to students’ motivation to build accessible technology two years after a required accessibility-education intervention?…

  accessibility education · computing education · pedagogy · professional development · qualitative research

• Volunteer-Based Online Studies With Older Adults and People with Disabilities

  Qisheng Li, Krzysztof Z. Gajos, Katharina Reinecke · 2018 · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18)

  This paper validates volunteer-based online experiments as a methodology for conducting large-scale accessibility research with people with disabilities and older adults — populations that are notoriously difficult to recruit for laboratory studies. The researchers replicated…

  research methodology · online experimentation · accessibility research · aging · participant recruitment

• Usability Evaluation of Captions for People Who Are Deaf or Hard of Hearing

  Sushant Kafle, Matt Huenerfauth · 2018 · SIGACCESS Accessibility and Computing Newsletter (Issue 122)

  This is a SIGACCESS Newsletter article summarizing a line of research by Kafle and Huenerfauth on building a caption-quality evaluation metric that actually reflects the experience of Deaf and Hard-of-Hearing (DHH) readers — rather than simply counting speech-recognition errors.…

  automatic speech recognition · captioning · captions · caption quality · accessibility metrics

• Methods for Evaluation of Imperfect Captioning Tools by Deaf or Hard-of-Hearing Users at Different Reading Literacy Levels

  Larwan Berke, Sushant Kafle, Matt Huenerfauth · 2018 · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18)

  This CHI 2018 paper (awarded an Honourable Mention) is the originating methodological study behind the group’s later Alonzo et al. work on Automatic Text Simplification evaluation. It asks: when Deaf and Hard-of-Hearing (DHH) participants evaluate imperfect captions produced by…

  captioning · deaf and hard of hearing · automatic speech recognition · research methodology · literacy